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# Quantexa Data Engineering Lead

- **Company:** Adecco
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Cloud Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Cloud Services, Scala (Programming Language), SQL Databases, Azure Data Factory, Apache Spark, Atlassian Tools, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-97E404BD286E70A0D1/

## About the Role

* Proven Data Engineering leadership experience.
 * Working knowledge of Quantexa is required.
 * Strong hands-on experience with Scala and Spark.
 * Excellent knowledge of ETL, data architecture and cloud data platforms.
 * Experience with Azure Data Factory, Azure Databricks and SQL.
 * Strong stakeholder management and communication skills.
 * Experience operating within Financial Services environments.
 * Ability to balance technical leadership with hands-on delivery.Proficient in tools such as Jira and Confluence.
 * Strong analytical skills for diagnosing and troubleshooting system issues.

## Description

Our client is seeking a Quantexa Data Engineering Lead to drive the growth of a newly established Quantexa capability supporting AML and financial crime initiatives across EMEA. This is a hands-on technical leadership role that combines team leadership, stakeholder engagement and solution delivery.

The successful candidate will lead a small team of Data Engineers while remaining actively involved in solution design, development and implementation. You will help shape the strategic direction of the Quantexa platform whilst ensuring successful delivery across a global programme., * Lead and mentor a team of Quantexa Data Engineers across EMEA.

 * Act as the senior technical point of contact for the Quantexa platform.
 * Design, build and optimise scalable data pipelines and ETL processes.
 * Provide hands-on development using Scala, Spark, Python and SQL.
 * Partner with technology, product and business stakeholders.
 * Drive best practice across engineering, testing, deployment and platform support.
 * Support the continued rollout and adoption of Quantexa across the organisation.
 * Contribute to cloud architecture leveraging Azure and Databricks.